Evolutionary multi objective optimization to optimize waste to energy network

Author

Perera, A.T.D. ; Kuruppumullage, D.N.S. ; Nissanka, N.A.I.D. ; de Alwis, A.A.P.

Author_Institution

Dept. of Mech. Eng., Univ. of Moratuwa, Katubedda, Sri Lanka

fYear

2011

fDate

15-17 Dec. 2011

Firstpage

31

Lastpage

36

Abstract

Energy recovery through thermal conversion of municipal solid waste is been considered as a potential waste management technique and solution to the ever increasing energy demands. In order to evaluate the feasibility of this phenomena energy flow, material and cash modeling is done for three cases i.e. direct thermal conversion of waste, thermal conversion through Residue Derived Fuel (RDF) and landfilling. Further, Pareto multi objective optimization was performed considering Net Present Value (NPV) and landfilling capacity using evolutionary multi objective optimization. Results clearly depict, that non-linear fluctuations of objective functions are having a significant impact on Pareto front which has not being highlighted in previous studies.

Keywords

Pareto optimisation; evolutionary computation; incineration; waste; Pareto multi objective optimization; energy demands; energy recovery; evolutionary multi objective optimization; landfilling; municipal solid waste management; phenomena energy flow; residue derived fuel; thermal conversion; waste to energy network; Algorithm design and analysis; Biological system modeling; Integrated circuit modeling; Mathematical model; Optimization; Resource description framework; Evolutionary Algorithms; Landfilling; Multi Objective Optimization; RDF; Thermal Incineration of Waste; Waste Management;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Technology and Environmental Conservation (GTEC 2011), 2011 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4673-0179-4

Type

conf

DOI

10.1109/GTEC.2011.6167637

Filename

6167637